28702 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 28702 Zip Code | North Carolina | U.S. |
| Total Housing Units | 222, 100% | 3,742,514 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 24.68% | 48.85% |
| Bottled, Tank, or LP Gas | 58, 26.13%, see rank | 8.00% | 4.86% |
| Electricity | 123, 55.41%, see rank | 60.27% | 36.68% |
| Fuel Oil, Kerosene, etc. | 12, 5.41%, see rank | 4.34% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 29, 13.06%, see rank | 2.17% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.15% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| | 28702 Zip Code | North Carolina | U.S. |
| Total Housing Units | 170, 100% | 3,693,221 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 24.97% | 49.42% |
| Bottled, Tank, or LP Gas | 51, 30.00%, see rank | 8.90% | 5.03% |
| Electricity | 80, 47.06%, see rank | 58.26% | 35.51% |
| Fuel Oil, Kerosene, etc. | 33, 19.41%, see rank | 5.24% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 6, 3.53%, see rank | 2.16% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.14% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.29% | 0.90% |
US Census 2000 data
| | 28702 Zip Code | North Carolina | U.S. |
| Total Housing Units | 20, 100% | 3,132,013 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 24.19% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 12.59% | 6.52% |
| Electricity | 9, 45.00%, see rank | 48.81% | 30.35% |
| Fuel Oil, Kerosene, etc. | 11, 55.00%, see rank | 11.76% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 0, 0.00%, see rank | 2.10% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.21% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 0.69% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
